447 related articles for article (PubMed ID: 33051342)
1. Novel, non-invasive imaging approach to identify patients with advanced non-small cell lung cancer at risk of hyperprogressive disease with immune checkpoint blockade.
Vaidya P; Bera K; Patil PD; Gupta A; Jain P; Alilou M; Khorrami M; Velcheti V; Madabhushi A
J Immunother Cancer; 2020 Oct; 8(2):. PubMed ID: 33051342
[TBL] [Abstract][Full Text] [Related]
2. Noninvasive radiomic biomarkers for predicting pseudoprogression and hyperprogression in patients with non-small cell lung cancer treated with immune checkpoint inhibition.
Li Y; Wang P; Xu J; Shi X; Yin T; Teng F
Oncoimmunology; 2024; 13(1):2312628. PubMed ID: 38343749
[TBL] [Abstract][Full Text] [Related]
3. Combination of computed tomography imaging-based radiomics and clinicopathological characteristics for predicting the clinical benefits of immune checkpoint inhibitors in lung cancer.
Yang B; Zhou L; Zhong J; Lv T; Li A; Ma L; Zhong J; Yin S; Huang L; Zhou C; Li X; Ge YQ; Tao X; Zhang L; Son Y; Lu G
Respir Res; 2021 Jun; 22(1):189. PubMed ID: 34183009
[TBL] [Abstract][Full Text] [Related]
4. Clarification of Definitions of Hyperprogressive Disease During Immunotherapy for Non-Small Cell Lung Cancer.
Kas B; Talbot H; Ferrara R; Richard C; Lamarque JP; Pitre-Champagnat S; Planchard D; Balleyguier C; Besse B; Mezquita L; Lassau N; Caramella C
JAMA Oncol; 2020 Jul; 6(7):1039-1046. PubMed ID: 32525513
[TBL] [Abstract][Full Text] [Related]
5. Changes in CT Radiomic Features Associated with Lymphocyte Distribution Predict Overall Survival and Response to Immunotherapy in Non-Small Cell Lung Cancer.
Khorrami M; Prasanna P; Gupta A; Patil P; Velu PD; Thawani R; Corredor G; Alilou M; Bera K; Fu P; Feldman M; Velcheti V; Madabhushi A
Cancer Immunol Res; 2020 Jan; 8(1):108-119. PubMed ID: 31719058
[TBL] [Abstract][Full Text] [Related]
6. Pretreatment radiomic biomarker for immunotherapy responder prediction in stage IB-IV NSCLC (LCDigital-IO Study): a multicenter retrospective study.
Wu S; Zhan W; Liu L; Xie D; Yao L; Yao H; Liao G; Huang L; Zhou Y; You P; Huang Z; Li Q; Xu B; Wang S; Wang G; Zhang DK; Qiao G; Chan LW; Lanuti M; Zhou H
J Immunother Cancer; 2023 Oct; 11(10):. PubMed ID: 37865396
[TBL] [Abstract][Full Text] [Related]
7. [18F]FDG PET immunotherapy radiomics signature (iRADIOMICS) predicts response of non-small-cell lung cancer patients treated with pembrolizumab.
Valentinuzzi D; Vrankar M; Boc N; Ahac V; Zupancic Z; Unk M; Skalic K; Zagar I; Studen A; Simoncic U; Eickhoff J; Jeraj R
Radiol Oncol; 2020 Jul; 54(3):285-294. PubMed ID: 32726293
[TBL] [Abstract][Full Text] [Related]
8. Tumor-infiltrating lymphocyte enrichment predicted by CT radiomics analysis is associated with clinical outcomes of non-small cell lung cancer patients receiving immune checkpoint inhibitors.
Park C; Jeong DY; Choi Y; Oh YJ; Kim J; Ryu J; Paeng K; Lee SH; Ock CY; Lee HY
Front Immunol; 2022; 13():1038089. PubMed ID: 36660547
[TBL] [Abstract][Full Text] [Related]
9. Association of Survival and Immune-Related Biomarkers With Immunotherapy in Patients With Non-Small Cell Lung Cancer: A Meta-analysis and Individual Patient-Level Analysis.
Yu Y; Zeng D; Ou Q; Liu S; Li A; Chen Y; Lin D; Gao Q; Zhou H; Liao W; Yao H
JAMA Netw Open; 2019 Jul; 2(7):e196879. PubMed ID: 31290993
[TBL] [Abstract][Full Text] [Related]
10. A Novel Radiogenomics Biomarker for Predicting Treatment Response and Pneumotoxicity From Programmed Cell Death Protein or Ligand-1 Inhibition Immunotherapy in NSCLC.
Chen M; Lu H; Copley SJ; Han Y; Logan A; Viola P; Cortellini A; Pinato DJ; Power D; Aboagye EO
J Thorac Oncol; 2023 Jun; 18(6):718-730. PubMed ID: 36773776
[TBL] [Abstract][Full Text] [Related]
11. Assessing PD-L1 expression in non-small cell lung cancer and predicting responses to immune checkpoint inhibitors using deep learning on computed tomography images.
Tian P; He B; Mu W; Liu K; Liu L; Zeng H; Liu Y; Jiang L; Zhou P; Huang Z; Dong D; Li W
Theranostics; 2021; 11(5):2098-2107. PubMed ID: 33500713
[No Abstract] [Full Text] [Related]
12. Radiomics study for predicting the expression of PD-L1 in non-small cell lung cancer based on CT images and clinicopathologic features.
Sun Z; Hu S; Ge Y; Wang J; Duan S; Song J; Hu C; Li Y
J Xray Sci Technol; 2020; 28(3):449-459. PubMed ID: 32176676
[TBL] [Abstract][Full Text] [Related]
13. [CT-Based Weighted Radiomic Score Predicts Tumor Response to Immunotherapy in Non-Small Cell Lung Cancer].
Zhu ZC; Chen MJ; Song L; Wang JH; Hu G; Han W; Tan WX; Zhou Z; Sui X; Song W; Jin ZY
Zhongguo Yi Xue Ke Xue Yuan Xue Bao; 2023 Oct; 45(5):794-802. PubMed ID: 37674467
[TBL] [Abstract][Full Text] [Related]
14. Novel imaging biomarkers predict outcomes in stage III unresectable non-small cell lung cancer treated with chemoradiation and durvalumab.
Jazieh K; Khorrami M; Saad A; Gad M; Gupta A; Patil P; Viswanathan VS; Rajiah P; Nock CJ; Gilkey M; Fu P; Pennell NA; Madabhushi A
J Immunother Cancer; 2022 Mar; 10(3):. PubMed ID: 35256515
[TBL] [Abstract][Full Text] [Related]
15. Hypoxia-Related Radiomics and Immunotherapy Response: A Multicohort Study of Non-Small Cell Lung Cancer.
Tunali I; Tan Y; Gray JE; Katsoulakis E; Eschrich SA; Saller J; Aerts HJWL; Boyle T; Qi J; Guvenis A; Gillies RJ; Schabath MB
JNCI Cancer Spectr; 2021 Aug; 5(4):. PubMed ID: 34409252
[TBL] [Abstract][Full Text] [Related]
16. CT derived radiomic score for predicting the added benefit of adjuvant chemotherapy following surgery in stage I, II resectable non-small cell lung cancer: a retrospective multicohort study for outcome prediction.
Vaidya P; Bera K; Gupta A; Wang X; Corredor G; Fu P; Beig N; Prasanna P; Patil PD; Velu PD; Rajiah P; Gilkeson R; Feldman MD; Choi H; Velcheti V; Madabhushi A
Lancet Digit Health; 2020 Mar; 2(3):e116-e128. PubMed ID: 33334576
[TBL] [Abstract][Full Text] [Related]
17. Development and Validation of a Machine Learning-Based Model Using CT Radiomics for Predicting Immune Checkpoint Inhibitor-related Pneumonitis in Patients With NSCLC Receiving Anti-PD1 Immunotherapy: A Multicenter Retrospective CaseControl Study.
Zhang GY; Du XZ; Xu R; Chen T; Wu Y; Wu XJ; Liu S
Acad Radiol; 2024 May; 31(5):2128-2143. PubMed ID: 37977890
[TBL] [Abstract][Full Text] [Related]
18. Development and validation of an MRI-Based nomogram to predict the effectiveness of immunotherapy for brain metastasis in patients with non-small cell lung cancer.
Xu J; Wang P; Li Y; Shi X; Yin T; Yu J; Teng F
Front Immunol; 2024; 15():1373330. PubMed ID: 38686383
[TBL] [Abstract][Full Text] [Related]
19. Predicting benefit from immune checkpoint inhibitors in patients with non-small-cell lung cancer by CT-based ensemble deep learning: a retrospective study.
Saad MB; Hong L; Aminu M; Vokes NI; Chen P; Salehjahromi M; Qin K; Sujit SJ; Lu X; Young E; Al-Tashi Q; Qureshi R; Wu CC; Carter BW; Lin SH; Lee PP; Gandhi S; Chang JY; Li R; Gensheimer MF; Wakelee HA; Neal JW; Lee HS; Cheng C; Velcheti V; Lou Y; Petranovic M; Rinsurongkawong W; Le X; Rinsurongkawong V; Spelman A; Elamin YY; Negrao MV; Skoulidis F; Gay CM; Cascone T; Antonoff MB; Sepesi B; Lewis J; Wistuba II; Hazle JD; Chung C; Jaffray D; Gibbons DL; Vaporciyan A; Lee JJ; Heymach JV; Zhang J; Wu J
Lancet Digit Health; 2023 Jul; 5(7):e404-e420. PubMed ID: 37268451
[TBL] [Abstract][Full Text] [Related]
20. Correlation of plasma exosomal microRNAs with the efficacy of immunotherapy in
Peng XX; Yu R; Wu X; Wu SY; Pi C; Chen ZH; Zhang XC; Gao CY; Shao YW; Liu L; Wu YL; Zhou Q
J Immunother Cancer; 2020 Jan; 8(1):. PubMed ID: 31959728
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
